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If you're searching for a Heroku Connect alternative, you're not alone. Engineering teams across SaaS, e-commerce, and financial services are moving away from Heroku Connect due to opaque pricing, Heroku platform lock-in, and limited integration scope. Stacksync provides a superior alternative to Heroku Connect for Salesforce-PostgreSQL synchronization, with transparent pricing, platform independence, and advanced workflow automation that eliminates vendor lock-in and hidden infrastructure costs.
Organizations choosing Stacksync as their Heroku Connect alternative gain enterprise-grade bi-directional sync capabilities without mandatory platform dependencies or unpredictable pricing structures.
Stacksync addresses the fundamental limitations that make Heroku Connect challenging for growing organizations. While both platforms offer bi-directional synchronization between Salesforce and PostgreSQL, Stacksync delivers superior value through cost transparency, infrastructure flexibility, and built-in automation features that Heroku Connect simply doesn't offer.
Heroku Connect's pricing model creates significant challenges for budget planning. Production tiers require contract negotiations with no public pricing, making cost estimation nearly impossible without engaging sales teams. On top of that, Heroku Connect mandates expensive Heroku Postgres plans and Heroku Dynos, creating infrastructure dependencies that can triple or quadruple your total costs.
Stacksync's pricing model is transparent and predictable. Organizations pay based on the number of unique synced records, with publicly available tier pricing starting at $1,000 per month. There are no hidden infrastructure requirements, no mandatory platform dependencies, and clear overage rates that allow accurate cost forecasting.

Heroku Connect creates significant vendor lock-in by requiring Heroku Postgres exclusively. You cannot use AWS RDS, Google Cloud SQL, Supabase, or any other PostgreSQL provider. This limitation restricts architectural flexibility and prevents multi-cloud strategies that modern engineering teams rely on.
As a platform-independent Heroku Connect alternative, Stacksync operates as a cloud-native SaaS platform that connects to any PostgreSQL database, regardless of hosting provider. This flexibility allows organizations to maintain full control over their infrastructure choices while still benefiting from enterprise-grade synchronization.
Heroku Connect focuses exclusively on Salesforce-to-PostgreSQL synchronization within the Heroku ecosystem. If you need to integrate additional systems, you're stuck implementing separate solutions, which creates integration sprawl and maintenance overhead.
Stacksync provides over 200 pre-built connectors spanning CRMs, ERPs, databases, data warehouses, and SaaS applications. This extensive ecosystem enables organizations to consolidate their entire integration architecture into a single platform, reducing complexity and long-term maintenance costs.

One of the top reasons teams choose Stacksync as their Heroku Connect alternative is the dramatically faster setup experience. The platform's visual interface enables teams to configure bi-directional synchronization without writing code or hiring specialized consultants.
The setup process requires zero coding knowledge. Teams can configure field mappings, sync directions, and transformation rules through an intuitive visual interface. This approach reduces implementation time from weeks or months to hours or days, enabling faster time-to-value compared to Heroku Connect's more complex setup process.
Stacksync's connector library includes pre-configured templates for common integration patterns. These templates handle standard field mappings, data type conversions, and schema differences automatically, further accelerating deployment and reducing the risk of configuration errors.
The platform provides comprehensive monitoring dashboards that track synchronization status, data flow, error rates, and performance metrics in real-time. Teams can identify and resolve issues quickly without requiring deep technical expertise, something that's often a pain point with Heroku Connect's limited observability.
Stacksync provides sophisticated data filtering and transformation capabilities that go well beyond what Heroku Connect offers, enabling teams to optimize synchronization and reduce unnecessary data movement.
Organizations can define complex filter criteria to control exactly which records synchronize between systems. Filters support multiple conditions, logical operators, and field-based criteria, enabling precise control over data flow. This capability reduces synchronization overhead and ensures only relevant data moves between systems.

The platform supports comprehensive data transformation capabilities, including field mapping, data type conversion, value transformation, and conditional logic. These transformations occur in real-time during synchronization, ensuring data consistency and format compatibility across all connected systems.
Stacksync provides multiple conflict resolution strategies for handling simultaneous updates across systems. Organizations can configure last-write-wins, source-priority rules, or custom resolution logic based on their specific business requirements. This flexibility ensures data integrity while accommodating different operational workflows.
Perhaps the biggest advantage of choosing Stacksync as a Heroku Connect alternative is the built-in event-driven architecture. Teams can build sophisticated automated workflows triggered by data changes, eliminating the need for custom polling mechanisms or complex webhook configurations that Heroku Connect would require you to build from scratch.
Stacksync provides non-invasive Change Data Capture (CDC) capabilities that detect field-level changes in real-time without requiring database modifications. This approach captures all data mutations, including creates, updates, and deletes, ensuring complete event coverage across your integration architecture.
Stacksync's visual trigger editor enables teams to configure event triggers without writing code. Triggers can monitor changes in Salesforce, PostgreSQL, or both systems simultaneously, providing comprehensive event coverage that Heroku Connect cannot match natively.
Organizations can define complex filter conditions for triggers, enabling precise control over when workflows execute. Triggers can activate only when specific field values change, when records meet certain criteria, or when multiple conditions are satisfied simultaneously.
Triggers can notify any HTTP REST endpoint, enabling integration with external services, webhook receivers, serverless functions, or automation platforms like Zapier and Make. This flexibility allows organizations to extend Stacksync's capabilities into their existing toolchain without additional vendor lock-in.
Common use cases include automatically sending welcome emails when new accounts are created, updating downstream systems when deal stages change, triggering data enrichment processes when leads are qualified, and synchronizing inventory levels across e-commerce platforms in real-time.
One of the most common reasons teams look for a Heroku Connect alternative is cost. Stacksync's pricing structure provides clear cost predictability that enables organizations to plan budgets accurately and scale efficiently.
Stacksync charges based on unique synced records, not update frequency or operation volume. This means organizations can update records unlimited times without additional costs, making it highly cost-effective for high-velocity data environments. Only records present at the start of the month or synced for the first time during the month count toward billing.
Stacksync offers publicly available pricing tiers:
Compare this to Heroku Connect, where you need to get on a sales call just to learn what you'll pay.
Unlike Heroku Connect, Stacksync doesn't require mandatory infrastructure components. Organizations can use their existing PostgreSQL databases regardless of hosting provider, eliminating the need for expensive Heroku Postgres plans or Heroku Dynos. This approach significantly reduces total cost of ownership.
Overage charges for records exceeding plan limits follow a tiered structure with volume discounts. Organizations can accurately forecast costs based on data volume, enabling better budget planning and financial predictability as they grow.
Stacksync provides enterprise-grade security features and compliance certifications that meet the requirements of regulated industries and security-conscious organizations.
The platform maintains SOC 2 Type II, GDPR, HIPAA BAA, ISO 27001, and CCPA compliance certifications. These certifications demonstrate Stacksync's commitment to data security and regulatory compliance, enabling organizations in healthcare, finance, and other regulated industries to adopt the platform confidently.
All data in transit is encrypted using TLS 1.2+, and data at rest encryption is available for sensitive workloads. The platform supports role-based access control (RBAC), multi-factor authentication (MFA), and single sign-on (SSO) for enterprise deployments.
Stacksync maintains comprehensive audit logs that track all data access, configuration changes, and synchronization activities. These logs support compliance requirements and enable organizations to demonstrate data handling practices during audits.
Stacksync's architecture is designed for high-performance, reliable data synchronization that supports mission-critical business operations.
The platform provides sub-second synchronization latency for most operations, ensuring that data changes propagate quickly across connected systems. This performance level supports real-time business processes that depend on current data availability.
Stacksync's cloud-native architecture includes built-in redundancy, automatic failover, and disaster recovery capabilities. The platform maintains high uptime SLAs for enterprise customers, ensuring that critical data synchronization continues operating even during infrastructure issues.
The platform scales horizontally to handle increasing data volumes and synchronization frequencies. Organizations can grow from thousands to millions of synced records without performance degradation or architectural changes.
Organizations currently using Heroku Connect can migrate to Stacksync with minimal disruption, often improving capabilities while reducing costs.
Stacksync supports migration from Heroku Connect by replicating existing sync configurations and data mappings. The Stacksync team assists with migration planning and execution, ensuring smooth transitions with minimal downtime.
The migration process maintains data consistency by synchronizing historical data and establishing real-time sync before decommissioning Heroku Connect. This approach prevents data loss and ensures continuity of business operations throughout the transition.
Organizations typically realize 30-50% cost savings after migrating from Heroku Connect to Stacksync, primarily through eliminating mandatory Heroku infrastructure requirements and benefiting from transparent, record-based pricing.
Stacksync delivers superior value compared to Heroku Connect through transparent pricing, platform independence, advanced automation capabilities, and comprehensive connector support. Organizations choosing Stacksync as their Heroku Connect alternative gain enterprise-grade synchronization capabilities without vendor lock-in, hidden costs, or infrastructure dependencies.
The platform's no-code configuration, real-time performance, and extensive automation features enable teams to build sophisticated integration architectures quickly and maintain them efficiently. Whether you're evaluating integration solutions for the first time or actively searching for a Heroku Connect alternative, Stacksync provides a compelling combination of capabilities, flexibility, and value.
Ready to eliminate Heroku Connect's limitations and infrastructure dependencies? Book a Stacksync demo to see how transparent pricing, platform independence, and advanced workflow automation can transform your Salesforce-PostgreSQL integration strategy.